Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)

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Design of Multimodal English Vocabulary Acquisition Mode Based on Cloud Computing Technology

Authors
Zeng Jie1, 2, *
1College of Foreign Languages and Cultures, Sichuan University, Chengdu, Sichuan, China
2Department of Arts and Sciences, Chengdu College of University of Electronic Science and Technology of China, Chengdu, China
*Corresponding author. Email: baggio6203@126.com
Corresponding Author
Zeng Jie
Available Online 23 December 2022.
DOI
10.2991/978-94-6463-034-3_50How to use a DOI?
Keywords
cloud computing; mobile learning; multimodality; English vocabulary acquisition
Abstract

In view of the current mono and inflexible English vocabulary teaching mode, this paper proposes a multi-modal vocabulary acquisition mode based on cloud computing platform. This mode adopts B/S-based multi-layer distributed system design, and computing resources and storage space of cloud computing platform is devised as teaching environment while multi-modality as teaching means. This brand-new vocabulary acquisition mode is able to achieve mobile learning based on cloud computing, cloud sharing of learning resources and other functions, thus making vocabulary acquisition more convenient, efficient and faster. The use of multi-modal teaching methods is capable of activating vocabulary storage of students and improving their vocabulary learning experience, hence their English comprehensive ability is promoted effectively. The test results in this mode show that vocabulary acquisition effect in multi-modal mode based on cloud computing platform is better than that in traditional vocabulary acquisition mode.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
23 December 2022
ISBN
10.2991/978-94-6463-034-3_50
ISSN
2589-4900
DOI
10.2991/978-94-6463-034-3_50How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zeng Jie
PY  - 2022
DA  - 2022/12/23
TI  - Design of Multimodal English Vocabulary Acquisition Mode Based on Cloud Computing Technology
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022)
PB  - Atlantis Press
SP  - 492
EP  - 499
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-034-3_50
DO  - 10.2991/978-94-6463-034-3_50
ID  - Jie2022
ER  -